Job Description
Solution Architecture & Design
o Define and design scalable AI/Gen AI architectures for banking applications, including conversational AI, predictive analytics, fraud detection, and personalized financial services.
o Create detailed architecture diagrams and documentation using tools like iServer or similar (experience is a plus).
o Develop reference architectures and best practices for integrating AI solutions into core banking systems and digital channels.
· AI/Gen AI Development
o Lead the development and deployment of AI/Gen AI models (e.g., LLMs, NLP, RAG solution, Agentic AI Solution) tailored for banking use cases.
o Collaborate with data scientists, Other Architecture domain (Enterprise, Security) and Stakeholders to optimize model performance and ensure compliance with regulatory standards.
· SaaS & Cloud Integration
o Architect solutions leveraging SaaS-based AI platforms and cloud services (AWS, Azure, GCP) for scalability and security.
o Ensure seamless integration with existing banking systems and APIs.
· Governance & Compliance
o Implement AI governance frameworks addressing ethical AI, data privacy, and regulatory compliance (e.g., GDPR, FFIEC).
o Secure TDRC and ARB approvals for all solution designs and deployments.
· Stakeholder Engagement
o Partner with business leaders to identify AI opportunities and translate them into technical solutions.
o Provide thought leadership and technical guidance to cross-functional teams.
· Innovation & Roadmap
o Stay ahead of emerging AI/Gen AI trends and evaluate new technologies for banking applications.
o Drive the AI strategy and roadmap aligned with business objectives.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
8+ years in solution architecture with at least 3+ years focused on AI/ML and Generative AI.
o Proven experience in designing and deploying SaaS-based AI solutions in enterprise environments.
o Experience on benchmark on multiple SaaS AI solution / Gen AI Models.
o Hands-on experience / deep understanding with developing AI/Gen AI models, including LLMs and RAG solution frameworks.
o Strong experience in creating architecture diagrams and solution documentation.
· Technical Skills:
o Expertise in AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, RAG solutions, Bedrock, Gen AI Models).
o Strong knowledge of cloud platforms (AWS, Azure, GCP) and SaaS AI offerings.
o Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
o Familiarity with iServer or similar enterprise architecture tools (is a plus).
o Candidate should have prior experience of Data Architecture building Data lake, data pipeline at scale.
· Domain Knowledge:
o Deep understanding of banking processes (deposit, cards, lending, operations, collections etc), regulatory requirements, and security standards.
· Soft Skills:
o Excellent communication and stakeholder management skills.
o Ability to translate complex technical concepts into business value.
Nice to Have Skills & Experience
Experience with AI governance frameworks and ethical AI practices.
· Familiarity with financial risk modeling, fraud detection, and customer personalization.
· Certifications in AI/ML or cloud architecture (AWS Certified Solutions Architect, Azure AI Engineer, etc.).
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.